نتایج جستجو برای: Monthly flow prediction

تعداد نتایج: 754787  

Journal: :اکو هیدرولوژی 0
محمد ناظری تهرودی دانشجوی دکتری منابع آب، دانشکدۀ کشاورزی، دانشگاه بیرجند سید رضا هاشمی استادیار دانشکدۀ کشاورزی، دانشگاه بیرجند فرشاد احمدی دانشجوی دکتری منابع آب، دانشکدۀ علوم آب، دانشگاه شهید چمران اهواز زهرا ناظری تهرودی دانشجوی دکتری آبخیزداری، دانشکدۀ کشاورزی و منابع طبیعی، دانشگاه کاشان

prediction the river flow discharge values are important in the surface water resources management. find an appropriate model to accurately predictionof this parameter is one of the most important ways to simulation and prediction. in this study three anfis, svm and gp models were evaluated and compared to modeling the monthly flow discharge of nazloochi river in tapik hydrometric station that ...

Journal: :international journal of advanced biological and biomedical research 2014
abazar solgi feridon radmanesh heidar zarei vahid nourani

awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...

Abazar Solgi, Feridon Radmanesh Heidar Zarei Vahid Nourani

Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...

Abazar Solgi, Feridon Radmanesh Heidar Zarei Vahid Nourani

Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...

ژورنال: علوم آب و خاک 2002
سیف اله امین, , عبدالمجید غفوری روز بهانی, ,

Prediction of watershed responses and simulation of runoff rate and volume are required for design purposes in most water resources projects. For this purpose, different hydrologic methods and events based on continuous hydrologic mathematical models are applied. In this research, a continuous hydrologic model, Stanford Watershed Model-IV (SWM-IV) is used for simulation of annual and monthly vo...

سیف اله امین, , عبدالمجید غفوری روز بهانی, ,

Prediction of watershed responses and simulation of runoff rate and volume are required for design purposes in most water resources projects. For this purpose, different hydrologic methods and events based on continuous hydrologic mathematical models are applied. In this research, a continuous hydrologic model, Stanford Watershed Model-IV (SWM-IV) is used for simulation of annual and monthly vo...

ژورنال: علوم آب و خاک 2010
اخوان, سمیرا , اسلامیان , سید سعید , افیونی, مجید , عابدی کوپایی, جهانگیر , عباسپور, کریم , موسوی, سید فرهاد ,

Temporal and spatial distribution of water components in watersheds, estimation of water quality, and uncertaintiesassociated with these estimations are important issues in freshwater studies. In this study, Soil and Water AssessmentTool (SWAT) model was used to estimate components of freshwater availability: blue water (surface runoff plus deepaquifer recharge), green water flow (actual evapot...

Journal: :آب و خاک 0
فتحی فتحی محمدی محمدی همایی همایی

abstract prediction of input flow into water resources is regarded as one of the most important issues in optimum planning and management in producing electro-water energy and optimum allocation of water into different consumption sources. different parameters affect on input discharge into dams. climate variables including temperature and rainfall have the most effect on input runoff rate to w...

Journal: :آب و خاک 0
علی داننده مهر محمدرضا مجدزاده طباطبائی

abstract accurate prediction of river flow is one of the most important factors in surface water recourses management especially during floods and drought periods. in fact deriving a proper method for flow forecasting is an important challenge in water resources management and engineering. although, during recent decades, some black box models based on artificial neural networks (ann), have bee...

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